HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3031
Single Precision Score
1342
Half Precision Score
6054
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 01:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 238V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
484
89.9 IPS |
|
|
Image Classification (Q)
|
99% |
5015
935.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6835
111.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4456
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3204
3.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
16469
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.6 IPS |
|
|
Object Detection (Q)
|
86% |
4970
399.4 IPS |
|
|
Face Detection (SP)
|
100% |
6568
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
1429
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
7480
89.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6003
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1894
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13039
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11316
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8298
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20589
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4301
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
633
844.9 IPS |
|
|
Text Classification (Q)
|
97% |
1197
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2283
45.9 IPS |
